File size: 5,333 Bytes
1f6d7ba
ab4a0a3
 
1f6d7ba
b8f77e5
1f6d7ba
61ee4a2
8dedb65
 
1f3a745
 
 
8dedb65
1f3a745
8dedb65
167ab39
 
 
 
c704836
7f56c8a
2cf4a4b
7f56c8a
850b633
 
7f56c8a
 
444c89f
167ab39
444c89f
167ab39
2cf4a4b
 
167ab39
 
 
850b633
 
 
167ab39
 
 
 
 
 
 
850b633
 
167ab39
 
 
 
 
 
 
850b633
9e45463
 
 
8dedb65
 
 
167ab39
8dedb65
167ab39
8dedb65
 
 
850b633
9e45463
 
 
167ab39
 
 
 
 
 
 
 
 
850b633
2cf4a4b
850b633
 
 
8d6f3e2
167ab39
8d6f3e2
 
 
 
 
 
 
 
 
167ab39
 
 
444c89f
 
 
 
6178398
8e4ec5e
6178398
 
 
 
 
 
 
444c89f
6178398
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
444c89f
8d6f3e2
7f56c8a
8d6f3e2
7f56c8a
850b633
8d6f3e2
 
167ab39
8d6f3e2
 
 
 
167ab39
 
 
 
7f56c8a
 
 
8dedb65
167ab39
 
 
7f56c8a
8d6f3e2
8dedb65
8d6f3e2
2cf4a4b
 
8dedb65
 
 
61ee4a2
8dedb65
ca6052a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8dedb65
 
1f3a745
 
 
 
 
 
 
 
981cd12
1f3a745
ca6052a
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
import streamlit as st
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch

st.set_page_config(page_title="FitPlan AI", layout="centered")

# LOAD MODEL (FIXED FOR FLAN-T5)
@st.cache_resource
def load_model():
    tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
    return tokenizer, model

tokenizer, model = load_model()

# ---------------------------------------------------
# TITLE
# ---------------------------------------------------
st.title("πŸ’ͺ FitPlan AI – User Fitness Profile")

# ---------------------------------------------------
# PERSONAL INFORMATION
# ---------------------------------------------------
st.subheader("πŸ‘€ Personal Information")

name = st.text_input("Enter Your Name")

gender = st.radio(
    "Gender",
    ["Male", "Female"],
    horizontal=True
)

# ---------------------------------------------------
# HEIGHT & WEIGHT
# ---------------------------------------------------
col1, col2 = st.columns(2)

with col1:
    height = st.number_input(
        "Height (in cm)",
        min_value=0.0,
        max_value=250.0,
        value=0.0,
        step=0.1
    )

with col2:
    weight = st.number_input(
        "Weight (in kg)",
        min_value=0.0,
        max_value=200.0,
        value=0.0,
        step=0.1
    )

# ---------------------------------------------------
# BMI FUNCTION
# ---------------------------------------------------
def bmi_category(bmi):
    if bmi < 18.5:
        return "Underweight"
    elif bmi < 25:
        return "Normal weight"
    elif bmi < 30:
        return "Overweight"
    else:
        return "Obese"

# ---------------------------------------------------
# BMI CALCULATION
# ---------------------------------------------------
bmi = None

if height > 0 and weight > 0:
    height_m = height / 100
    bmi = weight / (height_m ** 2)

    st.metric("πŸ“Š Your BMI", f"{bmi:.2f}")
    st.info(f"BMI Category: {bmi_category(bmi)}")

# ---------------------------------------------------
# FITNESS GOAL
# ---------------------------------------------------
st.subheader("🎯 Fitness Goal")

goal = st.selectbox(
    "Select Your Goal",
    [
        "Flexible",
        "Weight Loss",
        "Build Muscle",
        "Strength Gaining",
        "Abs Building"
    ]
)

# ---------------------------------------------------
# EQUIPMENT
# ---------------------------------------------------
st.subheader("πŸ‹οΈ Available Equipment")

equipment_map = {}

col1, col2, col3 = st.columns(3)

with col1:
    equipment_map["No Equipment"] = st.checkbox("No Equipment")
    equipment_map["Pull-up Bar"] = st.checkbox("Pull-up Bar")
    equipment_map["Dip Bars"] = st.checkbox("Dip Bars")
    equipment_map["Push-up Handles"] = st.checkbox("Push-up Handles")
    equipment_map["Dumbbells"] = st.checkbox("Dumbbells")
    equipment_map["Adjustable Dumbbells"] = st.checkbox("Adjustable Dumbbells")

with col2:
    equipment_map["Barbell"] = st.checkbox("Barbell")
    equipment_map["Weight Plates"] = st.checkbox("Weight Plates")
    equipment_map["Kettlebells"] = st.checkbox("Kettlebells")
    equipment_map["Medicine Ball"] = st.checkbox("Medicine Ball")
    equipment_map["Yoga Mat"] = st.checkbox("Yoga Mat")
    equipment_map["Resistance Band"] = st.checkbox("Resistance Band")

with col3:
    equipment_map["Bosu Ball"] = st.checkbox("Bosu Ball")
    equipment_map["Stability Ball"] = st.checkbox("Stability Ball")
    equipment_map["Foam Roller"] = st.checkbox("Foam Roller")
    equipment_map["Treadmill"] = st.checkbox("Treadmill")
    equipment_map["Exercise Bike"] = st.checkbox("Exercise Bike")
    equipment_map["Skipping Rope"] = st.checkbox("Skipping Rope")

equipment = [item for item, selected in equipment_map.items() if selected]

# ---------------------------------------------------
# FITNESS LEVEL
# ---------------------------------------------------
st.subheader("πŸ“ˆ Fitness Level")

fitness_level = st.radio(
    "Select Fitness Level",
    ["Beginner", "Intermediate", "Advanced"],
    horizontal=True
)

# ---------------------------------------------------
# SUBMIT BUTTON
# ---------------------------------------------------
if st.button("πŸš€ Submit Profile"):

    if not name:
        st.error("Please enter your name.")

    elif height <= 0 or weight <= 0:
        st.error("Please enter valid height and weight.")

    elif not equipment:
        st.error("Please select at least one equipment option.")

    else:
        st.success("βœ… Profile Submitted Successfully!")

        bmi_status = bmi_category(bmi)
        equipment_list = ", ".join(equipment)

        # Improved Prompt
        prompt = f"""
You are a certified professional fitness trainer.

Create a detailed 5-day workout plan.

User Information:
- Gender: {gender}
- BMI: {bmi:.2f} ({bmi_status})
- Goal: {goal}
- Fitness Level: {fitness_level}
- Equipment Available: {equipment_list}

Start directly with:

Day 1:
"""

        with st.spinner("Generating your AI workout plan..."):
            inputs = tokenizer(prompt, return_tensors="pt", truncation=True)

outputs = model.generate(
    **inputs,
    max_new_tokens=400,
    temperature=0.7,
    do_sample=True
)

result = tokenizer.decode(outputs[0], skip_special_tokens=True).strip()